class_docstr: BuilderConfig for Hendrycks ETHICS.
docstr: BuilderConfig for Hendrycks ETHICS.
  
  Args:
  prefix: *string*, prefix to add to the dataset name for path location.
  features: *list[string]*, list of the features that will appear in the
      feature dict.
docstr_tok: ["BuilderConfig","for","Hendrycks","ETHICS",".","Args",":","prefix",":","*","string","*",",","prefix","to","add","to","the","dataset","name","for","path","location",".","features",":","*","list","[","string","]","*",",","list","of","the","features","that","will","appear","in","the","feature","dict","."]
code: def __init__(self, prefix, features, **kwargs):
      """BuilderConfig for Hendrycks ETHICS.
  
      Args:
      prefix: *string*, prefix to add to the dataset name for path location.
      features: *list[string]*, list of the features that will appear in the
          feature dict.
      """
      # Version history:
      super().__init__(version=datasets.Version("0.0.1"), **kwargs)
      self.prefix = prefix
      self.features = features
  
file_path: lm-evaluation-harness/lm_eval/datasets/hendrycks_ethics/hendrycks_ethics.py
imports: import csv
  import os
  import datasets
label_desc: Use image node_id 1 to create a new EthicsConfig object from inherited base classes: datasets with example: obj = EthicsConfig(prefix, features)